{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "autoscroll": "json-false",
    "collapsed": false,
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import sys \n",
    "from os import getcwd, path\n",
    "sys.path.append(path.dirname(getcwd()))\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sb\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/home/tavi/bladder-analyses/analyses/notebooks'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "getcwd()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/home/tavi/bladder-analyses/analyses'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "path.dirname(getcwd())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "autoscroll": "json-false",
    "collapsed": false,
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "outputs": [],
   "source": [
    "from utils import data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "autoscroll": "json-false",
    "collapsed": false,
    "ein.tags": [
     "worksheet-0"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "inner join with tcr_peripheral_a: 29 to 29 rows\n",
      "inner join with tcr_peripheral_a: 29 to 29 rows\n",
      "{'dataframe_hash': -8062678075537494193,\n",
      " 'provenance_file_summary': {u'cohorts': u'0.5.0+1.gf382e8a.dirty',\n",
      "                             u'isovar': u'0.5.2',\n",
      "                             u'mhctools': u'0.3.1',\n",
      "                             u'numpy': u'1.11.2',\n",
      "                             u'pandas': u'0.19.1',\n",
      "                             u'pyensembl': u'1.0.3',\n",
      "                             u'scipy': u'0.18.1',\n",
      "                             u'topiary': u'0.1.0',\n",
      "                             u'varcode': u'0.5.10'}}\n"
     ]
    }
   ],
   "source": [
    "cohort = data.init_cohort(join_with=\"tcr_peripheral_a\",\n",
    "                          exclude_patient_ids=set(),\n",
    "                          only_patients_with_bams=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from utils.paper import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from cohorts.functions import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_all(function, description):\n",
    "    print(\"PFS Benefit:\")\n",
    "    mann_whitney_hyper_label_printer(\n",
    "        cohort.plot_benefit(on={description: function}),\n",
    "        label=\"pbmc_a_pfs\")\n",
    "    plt.show()\n",
    "    print(\"OS Benefit:\")\n",
    "    mann_whitney_hyper_label_printer(\n",
    "        cohort.plot_benefit_os(on={description: function}),\n",
    "        label=\"pbmc_a_os\")\n",
    "    plt.show()\n",
    "    \n",
    "    survival_hyper_label_printer(\n",
    "        cohort.plot_survival(on={description: function}, how=\"pfs\"),\n",
    "        \"pbmc_a_pfs_curve\")\n",
    "    plt.show()\n",
    "    survival_hyper_label_printer(\n",
    "        cohort.plot_survival(on={description: function}, how=\"os\"),\n",
    "        \"pbmc_a_os_curve\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PFS Benefit:\n",
      "inner join with tcr_peripheral_a: 29 to 29 rows\n",
      "Mann-Whitney test: U=65.0, p-value=0.248114557042 (two-sided)\n",
      "{{{pbmc_a_pfs_plot}}}\n",
      "{{{pbmc_a_pfs_benefit:0.068 (range 0.027-0.21)}}}\n",
      "{{{pbmc_a_pfs_no_benefit:0.14 (range 0.022-0.35)}}}\n",
      "{{{pbmc_a_pfs_mw:n=29, Mann-Whitney p=0.25}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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CgYGBtG/fnqpVqzqrNhERKePsDpFvv/2WiRMnkpaWZm3z8/NjwoQJGoxRRKSSsus5kYSE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\nwxQiIiLisP8Hqtv/xfarKzQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4bf658ab50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OS Benefit:\n",
      "inner join with tcr_peripheral_a: 29 to 29 rows\n",
      "Mann-Whitney test: U=41.0, p-value=0.00612886249432 (two-sided)\n",
      "{{{pbmc_a_os_plot}}}\n",
      "{{{pbmc_a_os_benefit:0.060 (range 0.022-0.21)}}}\n",
      "{{{pbmc_a_os_no_benefit:0.15 (range 0.031-0.35)}}}\n",
      "{{{pbmc_a_os_mw:n=29, Mann-Whitney p=0.0061}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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BAuzYsQONGjVCYmIi7t27B0EQ0LVrV03XSUREekhST2TixIkwMzMDANy7dw9nzpzBvXv3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\ntyM6Ohpr166FTCYDUPTE8fjx4/Haa6+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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4bf65a3ad0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "inner join with tcr_peripheral_a: 29 to 29 rows\n",
      "# no condition 15\n",
      "# with condition 14\n",
      "{{{pbmc_a_pfs_curve_plot}}}\n",
      "{{{pbmc_a_pfs_curve_logrank:n=29, log-rank p=0.048}}}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/tavi/miniconda2/lib/python2.7/site-packages/numpy/core/fromnumeric.py:224: FutureWarning: reshape is deprecated and will raise in a subsequent release. Please use .values.reshape(...) instead\n",
      "  return reshape(newshape, order=order)\n"
     ]
    },
    {
     "data": {
      "image/png": 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1nspgGTJkSEXWodVsnFcjMeZAZZdBRFQlqAwWbkNMRESvosreFUZERNpJ9gOS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\nIYRwKiksQgghnOp/E/HiZWPHA1cAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4bf4ba7210>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "inner join with tcr_peripheral_a: 29 to 29 rows\n",
      "# no condition 15\n",
      "# with condition 14\n",
      "{{{pbmc_a_os_curve_plot}}}\n",
      "{{{pbmc_a_os_curve_logrank:n=29, log-rank p=0.011}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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ll1+ul6BERKSbqi2ap3Xv3h3du3cXMwsRETVAvBaZiIhEpfaMhoieX2F2IaLfjNVohs5u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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4bf4acff90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_all(\"Clonality\", \"Peripheral A Clonality\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "inner join with tcr_tumor: 29 to 24 rows\n",
      "inner join with tcr_tumor: 29 to 24 rows\n",
      "{'dataframe_hash': -2467646966976180658,\n",
      " 'provenance_file_summary': {u'cohorts': u'0.5.0+1.gf382e8a.dirty',\n",
      "                             u'isovar': u'0.5.2',\n",
      "                             u'mhctools': u'0.3.1',\n",
      "                             u'numpy': u'1.11.2',\n",
      "                             u'pandas': u'0.19.1',\n",
      "                             u'pyensembl': u'1.0.3',\n",
      "                             u'scipy': u'0.18.1',\n",
      "                             u'topiary': u'0.1.0',\n",
      "                             u'varcode': u'0.5.10'}}\n"
     ]
    }
   ],
   "source": [
    "cohort = data.init_cohort(join_with=\"tcr_tumor\", \n",
    "                          exclude_patient_ids=set(),\n",
    "                          only_patients_with_bams=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "inner join with tcr_tumor: 29 to 24 rows\n"
     ]
    }
   ],
   "source": [
    "df = cohort.as_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "colors = []\n",
    "for response in df[\"Best Response RECIST 1.1\"]:\n",
    "    if response.strip().lower() in [\"cr\", \"pr\"]:\n",
    "        colors.append(\"green\")\n",
    "    elif response.strip().lower() == \"pd\":\n",
    "        colors.append(\"red\")\n",
    "    else:\n",
    "        colors.append(\"black\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Green = CR/PR, Red = PD, Black = Neither\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x7f4bf4a0cd10>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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KAwYM4NKlS2zfvh2dTseOHTv4/fffGThwoFHxV7cbU8uWLTl27BhHjx41+CorqyiJAQwb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\nFEwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4bf49e5890>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Green = CR/PR, Red = PD, Black = Neither\")\n",
    "sb.jointplot(data=df, x=\"Clonality\", y=\"T-cell fraction\", s=200,\n",
    "             c=colors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Green = PFS Benefit\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x7f4bf4843610>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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0KIrC4MGDuXDhAtu3b0en07Fjxw5+++03hgwZYlL8de3G5Ofnx9GjRzly5IjR1/Wy6pIY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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4bf4843690>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Green = PFS Benefit\")\n",
    "sb.jointplot(data=df, x=\"Clonality\", y=\"T-cell fraction\", s=200,\n",
    "             c=[\"green\" if benefit else \"red\" for benefit in df.is_benefit])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Green = OS Benefit\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.JointGrid at 0x7f4b9c438790>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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wefNmpk+fzrJlyxgxYsRfugchhGgoJapKSVkZ9g4O5P3wA/lmSjzXrl+n4+jR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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4b9c438e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Green = OS Benefit\")\n",
    "sb.jointplot(data=df, x=\"Clonality\", y=\"T-cell fraction\", s=200,\n",
    "             c=[\"green\" if benefit else \"red\" for benefit in df.is_benefit_os])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from utils.paper import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from scipy.stats import spearmanr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "inner join with tcr_tumor: 29 to 24 rows\n",
      "{{{tilfraction_pdl1_plot}}}\n",
      "{{{tilfraction_pdl1_spearmanr:n=24, Spearman rho=0.51 p=0.010}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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GYDAgPj4ezs7OWLp0KQAgLS0NU6ZMQU5ODlxcXJpdd9++fSgoKEB8fDyCgoJw48YNrFmz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\nNQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4bf4a0cbd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "result = cohort.plot_correlation({\"PD-L1 IC\": lambda row: int(row[\"PD-L1\"].split(\"IC\")[1]),\n",
    "                                    \"TIL Proportion\": \n",
    "                                      lambda row: row[\"T-cell fraction\"]},\n",
    "                                    plot_type=\"boxplot\",\n",
    "                                    x_col=\"PD-L1 IC\",\n",
    "                                    stat_func=spearmanr)\n",
    "result.plot.set_xticklabels([\"IC0\", \"IC1\", \"IC2\"])\n",
    "spearmanr_hyper_label_printer(result, label=\"tilfraction_pdl1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "inner join with tcr_tumor: 29 to 24 rows\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{{{tilclonality_pdl1_plot}}}\n",
      "{{{tilclonality_pdl1_spearmanr:n=24, Spearman rho=0.48 p=0.017}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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R7Bg2REQku9sKm5MnT+KJJ57Ak08+aal6iIioDzLr1uf21NbWorCwEIIgWKoe\nIiLqg3gajYiIZMewISIi2dkkbMrKyrBw4UJMmDAB48ePx4IFC3D58mWz1l27di2effZZTJ48Gf7+\n/vj000/b7BcREQF/f3+jn3vvvRd5eXmWPBQiIjJDu9dsMjIyOl350qVLXd6hXq9HbGwsnJ2dsWrV\nKgBAWloa4uLikJOTAxcXlw7X37lzJwICAhAREdFu0LR68MEHsWDBAqO21ldZExGR9XQYNnJc+M/O\nzkZJSQn2798PPz8/AMCYMWMwdepU7N69G7Nnz+5w/W+//RZAS9Dt2bOnw76DBg3C2LFjLVI3ERF1\nX4en0URR7PSnq/Lz8xEcHCwFDdAyi/S4ceN4iouI+o3z58/j5ZdfxqxZs/DWW29Br9fbuiRZtTuy\nSUhIkGWHarUakZGRJu0qlQoHDhyw6L7y8/MREhICg8GAgIAAPPfcc4iKirLoPoiIuqq5uRnJycm4\ncuUKAODzzz+Hi4sLnnvuORtXJh+rh41Wq4VCoTBpVygUqK6utth+IiIiEBQUBKVSicrKSuzcuRMJ\nCQlITU3FY489ZrH9EFHfsnXrVhw9elSWbdfW1gIAXF1dce3aNaNle/fuxddff93tbU+ZMgVz5869\nrfrkdFsPdfZkr776qtHvUVFRmDlzJtLS0hg2RGQTrafK3NzcIAiC0aUIB4c++3UM4DbvRruZuSMh\nhUIBnU5n0q7T6eDp6dmlfXaFnZ0dHnnkEaxZswYVFRXw9vaWbV9EJL8lS5agoqLC1mV0iyAI8PDw\nQG1tLZqbm+Ho6Ag3N7fb2ubRo0dlGZF5e3tLdw7fDovdjWZu2KhUKqjVapN2tVqNUaNGmb0/Iurf\nKioqcLX8Kuxce8+IoNmuZSRTUVvV0uAoAhDQKBhQdUNru8La0VzXZLFtdfgpmXu3WVdCKSIiAqmp\nqdBoNFAqlQAAjUaDkydP4qWXXjJ7O11lMBiwd+9eDB8+nKMaoj7CztUBXo/eaesy+qyqfRcttq12\nw2b+/PmyPGczc+ZMZGVlIT4+HomJiQCA9PR0+Pj4ICYmRupXWlqKqKgoJCQkID4+Xmo/fvw4qqqq\nUF5eDgA4c+YMXF1dAQBTp04FAOTm5iI/Px/h4eEYOnQoysvLsWvXLhQWFmLt2rUWPyYiIupYu2Fz\n65P3luLq6ort27cjOTkZS5cuhSiKCA0NRVJSkhQaANp9lic9PR0nTpwA0DKiysrKQlZWFgCgsLAQ\nQMtzOxXYnExBAAAe9klEQVQVFUhJSYFWq8WAAQMQGBiILVu2IDQ0VJbjIiKi9rUbNpGRkRAEAYcO\nHbL4TocNG4b09PQO+/j6+krhcbMdO3Z0uv3g4GC899573S2PiIgsrN2wKSkp4XtqiIhuU3O9Ade/\nLUfjVT3sFU5wu88bDgonW5dldXzFABGRjG6crkRjWR3QLMJwrR61x6/auiSbYNgQEcmosdJ4zrPm\nmkY01xtsVI3tdHqD+r333tvpRgRBwI8//miRgoiI+hLHO1zQUHJd+t3O3RGCU//7d36nYdOdmZ2J\niKjFgLFeEJua0XilDvYDW67Z9Mfr4b3n0Vsiol7IzsUBHqHDbF2GzXUaNmfPnrVGHURE1If1vxOH\nRERkdQwbIiKSXbun0Xx8fPrlRSwiIrmJzSLExmbYOdvbuhSraTdsvvjiC2vWQUTUL9RfqsGN76og\nNjbDYbAL3CcNgZ1T3w8dnkYjIrKS5noDrp+shNjYDABoKtdD/1PPe4+NHBg2RERWYqhtBJqNn11s\nqm6wUTXWxbAhIrISh4FOJrMHOA4ZYKNqrIthQ0RkJYK9HTxCh8FhsAvs3Bzgcs9AuKg8bV2WVXAG\nASIiK3IY5AzPKcNtXYbVcWRDRESyY9gQEZHsGDZERCQ7XrMhol6ptrYWzXVNqNp30dal9FnNdU2o\nRa1FtsWw6edOnTqFvXv3wtHREU888QRUKpWtSyKiPohh04+p1Wq88cYbaG5ueZr5+PHj2LhxI+64\n4w4bV0bUOXd3d+jRAK9H77R1KX1W1b6LcHd3t8i2GDY91NatW3H06FFZtl1b2zIsFgRBChoA0Ov1\nSEhIgKura7e3PWXKFMydO/e2aySivoU3CPRDer0eer0ednamH7+9fd+fEJCIrI8jmx5q7ty5so0Q\nWre7ceNGvPHGG/jhhx8AtIxKXnrppTZDiHoenU6HQ4cOob6+Hr/5zW8wfHj/e1CwtzFcb4RgJ8DO\ntf999fa/IyaJs7MzVqxYgZ9//hlOTk5QKpW2LonMVFdXh7/85S+4evUqAOB///d/kZaWBh8fHxtX\nRm0RDc2o/b+raLxSBwBwvtMdA+7z7lfvDGPYEO6++25bl9DnyHXNrfV6m6OjI2pqaqT2uro6vPji\ni3Bzc+v2tnm9TT71l2qloAGA+ou1sHNzhPMI934zyukfR0nUR+j1egAtYXOr/vSv5J5ObBahP6dF\n45U62Hs4Anamn03dj9dQV3gNbvd5w/lODxtUaV0MGyIZyHXNrXWbmzZtwtKlS6FWqwEAXl5eWLt2\nLby8vCy+T+q6urPXoP9JBwBoqqqHnYfpPw4AACJw4/sqOPm5Q2gjkPoSm4RNWVkZkpOTcezYMYii\niNDQULz88stmXeBcu3YtfvjhB3z//ffQ6XRYuXIlpk+fbtJPFEVs3rwZ2dnZqKiowMiRIzF//nw8\n/PDDchwSkVU5OjoiJSUF//d//we9Xo/777/fYs9D9CY9dgaB+majX5trGgEHQGxqeXGagF+CRWxo\nxrX9F4EeODJtrmsCLPTXyupho9frERsbC2dnZ6xatQoAkJaWhri4OOTk5MDFxaXD9Xfu3ImAgABE\nRETg008/bbffunXrsG3bNixevBgBAQHIzc1FYmIiNm3ahLCwMIseE5EtODo6YsqUKbYuw2a8vb1t\nXUK7dAYdGhsbpd8FQYCXwguVlZUmfZ2cnODp0UPfaeNuuf/OVg+b7OxslJSUYP/+/fDz8wMAjBkz\nBlOnTsXu3bsxe/bsDtf/9ttvAQCXLl3Cnj172uxTVVWFrVu3Yt68edL2Jk2ahIsXL2LNmjUMG6I+\noPUfqz1RcXExli1bhqtXr8LFxQXz589HeHg45s6dC1EU8dRTT+H06dO4++678cQTT8DZ2dnWJcvO\n6mGTn5+P4OBgKWgAQKlUYty4ccjLy+s0bMxx+PBhNDU1ITo62qg9Ojoar7zyCkpKSuDr63vb+yEi\naoufnx82bdqES5cuYejQoRgw4JdXPwuCgGnTpmHatGk2rND6rP70nlqtxujRo03aVSoVioqKLLKP\noqIiODk5YcSIESb7EEVRuqhK1FM1NTXhs88+w9q1a3Hw4EGjaYWod7C3t8fIkSONgqY/s/rIRqvV\nQqFQmLQrFApUV1dbZB86nQ4eHqa3Eg4cOFBaTtSTbdy4EZ9//jkA4Msvv0RZWRliY2NtXBVR93Fe\nEqIexmAwIC8vz6jts88+s1E1RJZh9ZGNQqFoc2Sh0+ng6WmZOzI8PT2Nnq5updVqpRosZcmSJaio\nqLDY9qyhtd7e9LS4t7d3j74gbEl2dnYQRdGoraGhAQaDwUYVEd0+q4eNSqVq85qJWq3GqFGjLLaP\nhoYGFBcXG92IoFarIQiCRV8QVlFRgfKrV9Gbzsq2zut8/b/zavV0N2Tabm/6h4IoivjTn/4k3Trb\nm/6hAPSvfyxQ26weNhEREUhNTYVGo5EmftRoNDh58iReeukli+wjLCwM9vb2yMnJwfz586X2nJwc\njB492uJ3og0A8D8OnIxBLh82Ncmy3YqKCly9Wg575+6/v0cuop09YLjpuO0cUFV9HaLQcua7UmeZ\nV/Vag6G+rvNO1OdZ/Rty5syZyMrKQnx8PBITEwEA6enp8PHxQUxMjNSvtLQUUVFRSEhIQHx8vNR+\n/PhxVFVVoby8HABw5swZ6WVfU6dOBdAydcecOXOwefNmuLm5SQ91FhQUYOPGjdY61B6lVhTxnSii\nBsAIQYA/OJcWANg7u2LI+OjOO9pA4/VraKguh6O7F5w8fnmwrrlRjxtl/4GhQQ8X7xFwVgy1YZWd\nu/pNjq1LoB7A6mHj6uqK7du3Izk5GUuXLpWmq0lKSjJ6Q6QoitLPzdLT03HixAkALV+WWVlZyMrK\nAgAUFhZK/RYvXgw3NzdkZmZK09WsX78e4eHhVjjKnkUUReSJIlqvlF0RRUAQcK9Nq6LOOLoNgqPb\nIKM2UWxG1Y9fwlDXcuemvvw8Bvo/COeBfJcN9Ww2OfczbNgwpKend9jH19fXKDxa7dixw6x9CIKA\n559/Hs8//3y3auxLtABuvSXjoijiXkFAw39HO4MA2HGk0+M11lRKQdOq7up5hg31eLzQcJtqa2tR\nB/muK1iCCLRM8ndTmFSKIt5vakJja7sowlkUe+S98DcAiLW95xqFnOwcnNpo6/tTnVDv1xO/W8jC\nBACOogj895SkIIqwF8VfggYABKHld+rRHAYo4DL4Lul3O0cXDPAZY7uCiMzEkc1tcnd3h3DjRq+4\nG00virgOwEsQoAfw4S3Xw9wEAU/Y27e5ri192NQEt344fX57FKMmYcBQFQwNdXBWDIVg3/P/7hHx\nb2k/4iIIaH2BgyuAIaKIm5+0udMGNVH3OLp7oZ3XcRH1SAybfuzXgoDToohrAHwEAYG2LoiMNN3Q\noebiaRj0NXAe5Av3EUEQ7HreyJPIHAybfsxFEDCZ12l6JFFsxrWfjqK5/joA4EbZOQh29nAfEWTj\nyoi6h2FD1AMZ9LVS0LSq15XBHQyb3qa2thZ79+5FRUUFGhoa4ORkekdhf8CwsYAb6Nm3Pt+q4b//\n21v+yt8A4GbrIqzM3mkABHtHiIZfXi3sMMByE8iSdYiiiNdee81oPsi2Xn/SHzBsblNPfg96e+r+\nO/mkWy+p3Q3y/Heura2Fob6ux06nYnSvoCBAf+0y9Cc+BQyNLbex29kDdg49ftohQ30d+utjUkVF\nRSYTD9fX19uoGtti2Nym3jiTbeuMwVu3brVxJdQRwc5emnhTEISWqZuaGn7p0PzfVw7Y8760nqqt\nt3TeOgVXf8GwoX7L3d0d9Qb02Ik4b9V0Q4fK7w4YtTm4euKOoIdsVJF5rn6TA/d++pyUj48PHn74\nYRw8eFBqa2xsRFJSEl577TWj+SD7OoYNUS9h7+Jmch3n1ok66fZt3boVR48eteg23dzccP36Lzd8\n/PDDD5g7d65Fw2bKlCk9+j1HnK6GqJcQ7BygUE2GnVPLF5ST5xC4+/HpqN6gretq/e3NqxzZEPUi\nzoN84D1wOMTmJtjxWo0s5s6da/ERglarxbx581BX1/IiOUEQ8Pe//x1BQf3nVnaGDVEvIwgCBAZN\nrzJw4EC8+eab+Oijj1BXV4dHHnmkXwUNwLAh6rXqr13GjbJzAAS4+dwDpx7+xs7+TqVS4W9/+5ut\ny7AZhg1RL9R4/Rq0Px1F69M4DborUIx+AC53KG1bGFE7eIMAUS9Uf60Uxo99itD95xhqi7+3VUlE\nHeLIhvq1njyDQFua//tQZ3uzP18v+RHXrxT1qFkFDPV1APrnczb0C4YN9Vu9caqhiv9ONXTHwEGo\nqalBQ0ODSR8vTzfY2fWkkxbuvfK/NVkWw4b6rb4w1VB2djZ27dolLX/ggQeQlJRkk9qIOsKw6eNq\na2uh0WgwcuRIODs727ocsrCYmBjcfffdOH78OEaMGIGpU6fauiSiNjFs+rBjx44hLS0N9fX18PDw\nwCuvvIKAgABbl0UWNnHiREycONHWZRB1iGHTQ93u/EyiKOLatWtobm4GANTU1ODVV1/FwIEDpfP+\ncsyj1NPnZyIi22DY9GGtQdOqdS4mFxcXW5RDRP0Yw6aHssT8TMuXL0dBQYH0++9+9zs899xzt1sa\nEVGXMWz6sMWLFyM7OxtFRUUYO3YsnnjiCVuXRET9FMOmDxswYADmzJlj6zKIiDhdDRERyc8mYVNW\nVoaFCxdiwoQJGD9+PBYsWIDLly+btW5DQwNSUlIwZcoUBAcH4+mnn8aJEydM+kVERMDf39/o5957\n70VeXp6lD4eIiDph9dNoer0esbGxcHZ2lp7gTktLQ1xcHHJycjq9UyopKQlHjhzBkiVLoFQqsWvX\nLjz77LPIzs6Gv7+/Ud8HH3wQCxYsMGobOXKkZQ+IiIg6ZfWwyc7ORklJCfbv3w8/Pz8AwJgxYzB1\n6lTs3r0bs2fPbnfds2fPIjc3FytXrsT06dMBtDzQNm3aNKSnp+Ptt9826j9o0CCMHTtWtmMhIiLz\nWP00Wn5+PoKDg6WgAQClUolx48Z1eoorLy8Pjo6OePTRR6U2e3t7TJs2DUePHkVjY6NsdRMRUfdZ\nPWzUajVGjx5t0q5SqVBUVNThukVFRVAqlSZzfKlUKjQ2NuLSpUtG7fn5+QgJCUFQUBBiYmJw6NCh\n2z8AIiLqMqufRtNqtVAoFCbtCoUC1dXVHa6r0+naXHfgwIHStltFREQgKCgISqUSlZWV2LlzJxIS\nEpCamorHHnvsNo+CiIi6os8+Z/Pqq68a/R4VFYWZM2ciLS2NYUNEZGVWP42mUCig0+lM2nU6HTw9\nPTtc19PTs811W0c0rSOcttjZ2eGRRx7B5cuXpYkoiXq7+vp6fPLJJ0hLS8ORI0dsXQ5Ru6w+slGp\nVFCr1SbtarUao0aN6nTdQ4cOob6+3ui6jVqthqOjI0aMGGHxeol6stTUVGn+u/z8fGi1Wo7cqUey\n+sgmIiICp0+fhkajkdo0Gg1OnjyJyMjITtdtbGzEvn37pDaDwYB9+/ZhypQpcHR0bHddg8GAvXv3\nYvjw4XxFLfUJWq3WaKJVADh48KCNqiHqmNVHNjNnzkRWVhbi4+ORmJgIAEhPT4ePjw9iYmKkfqWl\npYiKikJCQgLi4+MBAPfeey9++9vfYsWKFWhsbIRSqcT777+PkpISrF27Vlo3NzcX+fn5CA8Px9Ch\nQ1FeXo5du3ahsLDQqB9Rb+bs7AwnJyc0NDRIbZ2diiayFauHjaurK7Zv347k5GQsXboUoigiNDQU\nSUlJcHV1lfqJoij93GzlypVIS0vD+vXrUVNTA39/f2zZssVo9gClUomKigqkpKRAq9ViwIABCAwM\nxJYtWxAaGmq1YyWSk6urK55++mlkZmYCaAmf3//+9zauiqhtgnjrtzlBo9EgMjISeXl5UCqVti6H\nSNL6jqOtW7dKbcXFxSguLkZgYCBHNmRTHX139tlbn4n6Cz8/P6MZOYh6Ir5igIiIZMewISIi2TFs\niIhIdgwbIiKSHcOGiIhkx7vRiHqhoqIibN26FVeuXMH/+3//D7NmzYKDA//vTD0X/3YS9TKiKOIf\n//gHrl27BgDYs2cPBgwYYDQDB1FPw7AhksHWrVtx9OhRi2+3vRnLs7OzceDAgdva9pQpU6SHRoks\njddsiHoRFxcXkzfVAuApNOrx+DeUSAZz586VdZRw9OhRbNq0CTqdDsHBwfjrX//KqWqoR2PYEPVC\nU6ZMwQMPPIC6ujq4u7vbuhyiTvE0GlEvZW9vz6ChXoNhQ0REsmPYEBGR7Bg2REQkO4YNERHJjmFD\nRESyY9gQEZHsGDZERCQ7hg0REcmOYUNERLJj2BARkewYNkREJDuGDRERyY5hQ0REsmPYEBGR7Bg2\nREQkO4YNERHJziZhU1ZWhoULF2LChAkYP348FixYgMuXL5u1bkNDA1JSUjBlyhQEBwfj6aefxokT\nJ0z6iaKITZs2ISIiAmPHjsXjjz+OgwcPWvpQiIjIDFYPG71ej9jYWJw/fx6rVq1CamoqLly4gLi4\nOOj1+k7XT0pKwscff4xFixZh06ZNGDx4MJ599lmcPXvWqN+6deuwYcMGxMbG4t1330VISAgSExNx\n+PBhuQ6NiIjaI1rZe++9JwYEBIiXLl2S2oqLi8WAgABx27ZtHa5bWFgo3nPPPeKePXuktqamJnHq\n1KniCy+8ILVVVlaKgYGB4ltvvWW0flxcnBgdHd1pjcXFxeKYMWPE4uJiM4+KiIg6+u60+sgmPz8f\nwcHB8PPzk9qUSiXGjRuHvLy8DtfNy8uDo6MjHn30UanN3t4e06ZNw9GjR9HY2AgAOHz4MJqamhAd\nHW20fnR0NM6dO4eSkhILHhEREXXG6mGjVqsxevRok3aVSoWioqIO1y0qKoJSqYSzs7PJuo2Njbh0\n6ZLUz8nJCSNGjDDpJ4oi1Gr1bR4FERF1hdXDRqvVQqFQmLQrFApUV1d3uK5Op2tz3YEDB0rbbu3n\n4eHRbj+dTtfluomIqPscbF1AT2QwGAC03DVHRETmaf3ObP0OvZnVw0ahULQ5stDpdPD09OxwXU9P\nT5SWlpq0t45oWkcunp6eqKmpabdfW6Ojm5WXlwMAnnnmmQ77ERGRqfLyctx5551GbVYPG5VK1eY1\nE7VajVGjRnW67qFDh1BfX2903UatVsPR0VG6RqNSqdDQ0IDi4mKjGxHUajUEQYBKpepwP4GBgdi1\naxcGDx4Me3v7rhweEVG/ZTAYUF5ejsDAQJNlVg+biIgIpKamQqPRQKlUAgA0Gg1OnjyJl156qdN1\n33rrLezbtw/Tp08H0HJw+/btw5QpU+Do6AgACAsLg729PXJycjB//nxp/ZycHIwePRq+vr4d7sfF\nxQUTJky4ncMkIuqXbh3RtLJ/44033rBmIffccw/27t2LAwcOYMiQITh//jxef/11uLq6Yvny5VJg\nlJaWYvLkyRAEARMnTgQADB48GD///DOysrIwcOBAVFdXY/Xq1Thz5gxWr14Nb29vAICrqyvq6uqw\ndetWuLq6oqGhAZs3b8bnn3+ON998E3fddZc1D5mIqN+z+sjG1dUV27dvR3JyMpYuXQpRFBEaGoqk\npCS4urpK/URRlH5utnLlSqSlpWH9+vWoqamBv78/tmzZAn9/f6N+ixcvhpubGzIzM1FRUYGRI0di\n/fr1CA8Pt8pxEhHRLwTx1m9zIiIiC+Osz0REJDuGDRERyY5h00fs2bMH/v7+KC4uNmrPycnB7Nmz\nMXnyZAQGBiI8PByLFy9GQUGBUT+1Wo25c+fivvvuw+TJk5GUlMSZFqzodj6///znP3jttdfw5JNP\nIjAwEPfee6+1y+/Xbuezy87OxrPPPospU6YgJCQEjz32GLZs2SLN89iXcAaBPkQQBOnPzc3NWLRo\nEb744gs88cQTmDVrFhQKBcrKyrBv3z7Mnj0bBQUFcHd3x9WrVzFr1iyoVCpkZGRAp9Nh1apVeP75\n5/H+++/b8Ij6l+5+fj/88AOOHDmCwMBAODs749SpUzY8iv6pu5/d22+/jdDQUPzP//wPvLy88M03\n32D9+vU4c+YM1q1bZ8MjkoE1p58m+XzyySeiv7+/9OqGDRs2iP7+/uLnn3/eZv9jx46Jer1eFEVR\nfPPNN8WJEyeKNTU10vLjx4+L99xzT7vrk2Xdzud3s7S0NNHf31/WWsnY7Xx2VVVVJsszMjJEf3//\nPveKE55G64MaGxvx3nvv4de//jWioqLa7PPAAw9IszDk5+cjPDwc7u7u0vIJEybAx8en09c+kOV1\n9fOjnqOrn92gQYNMlgcFBQEArly5Il+hNsCw6YO+//57VFdXIyIiotO+9fX10Gg07b72ga9jsL6u\nfH7Us1jisysoKICdnR1Gjhxpwcpsj2HTB12+fBmCIMDHx6fTvjqdDqIotvvaB94kYH1d+fyoZ7nd\nz+7s2bPYsWMHZsyYAS8vLwtXZ1sMGyKiHuDq1auIj4/HnXfeib/97W+2LsfiGDZ90PDhwyGKYpuv\nY7iVp6cnBEFo97UPnb2OgSyvK58f9Szd/ey0Wi3mzp0LOzs7bNmyBQMGDJCpQtth2PRBgYGB8PT0\nxBdffNFpXxcXF/j6+rb72ofOXsdAlteVz496lu58drW1tZg7dy50Oh22bduGwYMHy1ih7TBs+iBH\nR0fMmTMHX375JQ4ePNhmn2PHjqG+vh5Ay6sbvvrqK9TW1krLT5w4gdLSUkRGRlqlZvpFVz8/6jm6\n+tnp9Xr8+c9/RmlpKbZt22b0/q2+hg919lHz5s3DTz/9hMWLF2P69On4zW9+A4VCgStXruDAgQM4\ndOgQCgoK4OzsjGeffRafffYZXnjhBfz5z39GTU0NVq9ejZCQkHZv3yR5deXz0+v1+OqrrwAAP//8\nMwDgwIEDAABfX982X2RF8unKZ5eQkIBTp07hlVdewfXr13H69GlpO35+fn3qJgGGTR9lZ2eHdevW\n4bPPPsPHH3+Ml19+GdevX4e3tzfGjx+PnTt3Ss/VDB06FJmZmVi5ciUWLlwIJycnREZGYunSpTY+\niv6rK59fZWUlEhMTjZ5iX7RoEQBg+vTpWLFihU2Oob/qymd39OhRCIKA5cuXm2xnxYoV0ksi+wK+\nYoCIiGTHazZERCQ7hg0REcmOYUNERLJj2BARkewYNkREJDuGDRERyY5hQ0REsuNDnUQdyMjIQEZG\nhlGbnZ0dFAoFgoOD8ac//QkTJkyQls2aNQvHjx8H0PKqYAcHB3h4eMDX1xcTJ07E73//+y5NSXLz\n9nbs2IGJEye22a+qqgpvv/02vvvuOxQWFkrvsP/73/+OZ555xiL7+ve//40PPvgAJ0+eRGVlJVxd\nXeHr64sHH3wQTz/9NIYPH272cVH/w7AhMsPNT+eLogitVosvv/wShw8fRnp6utG0Pjf3bWpqwrVr\n13Dt2jWcOXMGu3btwj//+U9ER0d3e/9tuXr1Knbu3Cn166x/V/YliiLeeOMNZGdnGy1vbGxEdXU1\nCgsLcccddyA2Nrbb+6S+j6fRiMw0f/58FBYW4sSJE4iJiQHQ8kWckpJi1K91Uo4dO3bghx9+wMGD\nB6Xp4xsaGvDyyy+joKDAorV5eHhgzpw5WLt2LWJiYmDJiUEyMjKQnZ0NQRCgUCiQkpKC48eP4/Tp\n0/jggw8QExMDe3t7i+2P+iaObIi6yM3NDS+++CJ2794NURSh0Wig1WoxcOBAo36iKMLOzg5+fn74\n61//isbGRmRmZsJgMGDt2rXYvXu3xWry9fWV5rIrKiqy2HZ1Oh22bNkijWZWrFhh9MrjoKAgBAUF\nobm52WL7pL6JIxuibujOl+tzzz0HoCWETp8+jaqqKkuXZXFff/019Ho9AODOO+80Cpqb2dnxq4Q6\nxr8hRF1UW1uLdevWSb/7+fmZjGraMnjwYGm2XwC94k2cGo1G+vOoUaNsWAn1djyNRmSm9u5MW7Jk\nidnb4CTr1F8xbIjMdPOdXp6enggJCcGzzz7b7u3It7py5QquX78ubcPX1xcA4O/vb9TPx8enx7wS\nWqlUSn+25LUg6n8YNkRmmj9/PhISErq9/ubNm6U/h4SEYNCgQQBMbzXuSdc/HnjgAbi4uECv1+Pi\nxYv44osv2rxuYzAYeEcadYhhQyQjg8GAkpISvP/++8jKygIAODg4YPHixVKfwsJCs7b13XffSRfr\nW/n6+uLuu++Wnv0BgLq6Oml5XV0drl27BgBSuHWFQqHA3Llz8fbbb0MURSQlJeGVV15BREQEnJyc\ncPbsWXz00Ue45557zH54lPonhg2RDERRxKxZs4zaBEGAi4sLli9fbjTrgLnbS01NNWmPi4tDUlIS\nSktLERkZabLO6tWrsXr1agDA2bNnu3gULRYsWICKigp8+OGHqK6uNrlGJQgCkpKSurVt6j8YNkSd\n6OrT+Df3d3BwgKenJ3x8fHD//ffj6aeflq7VWGL/Ny8zt19n+7q1ryAI+Mc//oFHH31Umq6mqqpK\nmq4mLCwMDz30kFnbp/5LEHl7DBERyaznXIkkIqI+i2FDRESyY9gQEZHsGDZERCQ7hg0REcmOYUNE\nRLJj2BARkewYNkREJLv/D30lo4IUrL0iAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4b9c199690>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "result = cohort.plot_correlation({\"PD-L1 IC\": lambda row: int(row[\"PD-L1\"].split(\"IC\")[1]),\n",
    "                                    \"TIL Clonality\": \n",
    "                                      lambda row: row[\"Clonality\"]},\n",
    "                                    plot_type=\"boxplot\",\n",
    "                                    x_col=\"PD-L1 IC\",\n",
    "                                    stat_func=spearmanr)\n",
    "result.plot.set_xticklabels([\"IC0\", \"IC1\", \"IC2\"])\n",
    "spearmanr_hyper_label_printer(result, label=\"tilclonality_pdl1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "inner join with tcr_expansion_a_b: 29 to 22 rows\n",
      "inner join with tcr_expansion_a_b: 29 to 22 rows\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'dataframe_hash': -3708790230929705357,\n",
      " 'provenance_file_summary': {u'cohorts': u'0.5.0+1.gf382e8a.dirty',\n",
      "                             u'isovar': u'0.5.2',\n",
      "                             u'mhctools': u'0.3.1',\n",
      "                             u'numpy': u'1.11.2',\n",
      "                             u'pandas': u'0.19.1',\n",
      "                             u'pyensembl': u'1.0.3',\n",
      "                             u'scipy': u'0.18.1',\n",
      "                             u'topiary': u'0.1.0',\n",
      "                             u'varcode': u'0.5.10'}}\n"
     ]
    }
   ],
   "source": [
    "cohort_tcr_a_b = data.init_cohort(join_with=\"tcr_expansion_a_b\", \n",
    "                          exclude_patient_ids=set(),\n",
    "                          only_patients_with_bams=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "inner join with tcr_expansion_a_c: 29 to 20 rows\n",
      "inner join with tcr_expansion_a_c: 29 to 20 rows\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'dataframe_hash': 6199429255182631239,\n",
      " 'provenance_file_summary': {u'cohorts': u'0.5.0+1.gf382e8a.dirty',\n",
      "                             u'isovar': u'0.5.2',\n",
      "                             u'mhctools': u'0.3.1',\n",
      "                             u'numpy': u'1.11.2',\n",
      "                             u'pandas': u'0.19.1',\n",
      "                             u'pyensembl': u'1.0.3',\n",
      "                             u'scipy': u'0.18.1',\n",
      "                             u'topiary': u'0.1.0',\n",
      "                             u'varcode': u'0.5.10'}}\n"
     ]
    }
   ],
   "source": [
    "cohort_tcr_a_c = data.init_cohort(join_with=\"tcr_expansion_a_c\", \n",
    "                          exclude_patient_ids=set(),\n",
    "                          only_patients_with_bams=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "inner join with tcr_expansion_a_b: 29 to 22 rows\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mann-Whitney test: U=89.5, p-value=0.0224798103147 (two-sided)\n",
      "{{{a_b_til_expansion_plot}}}\n",
      "{{{a_b_til_expansion_benefit:8.00 (range 4.00-12.00)}}}\n",
      "{{{a_b_til_expansion_no_benefit:2.50 (range 1.00-18.00)}}}\n",
      "{{{a_b_til_expansion_mw:n=22, Mann-Whitney p=0.022}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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Upf4WO3fuzF//+lc+/fRTDMPg2LFjHDt2zL698JSwT58+dOnSpcwL8/PzIzMz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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4b9c1f4710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mann_whitney_hyper_label_printer(cohort_tcr_a_b.plot_benefit(\n",
    "        \"N Expanded Clones that were TILs\", col=\"# Expanded Clones that were TILs\"), label=\"a_b_til_expansion\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "inner join with tcr_expansion_a_c: 29 to 20 rows\n",
      "Mann-Whitney test: U=66.0, p-value=0.165059739175 (two-sided)\n",
      "{{{a_c_til_expansion_plot}}}\n",
      "{{{a_c_til_expansion_benefit:3.00 (range 1.00-9.00)}}}\n",
      "{{{a_c_til_expansion_no_benefit:2.00 (range 1.00-8.00)}}}\n",
      "{{{a_c_til_expansion_mw:n=20, Mann-Whitney p=0.17}}}\n"
     ]
    },
    {
     "data": {
      "image/png": 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+cYMGDXJtKyIiRVe+hXHp0iUge0a9/OSsy9lWRESKrnwLo3z58gC5Rqf9q5x1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\nz+Qx+a0RewAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4bf6462ed0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mann_whitney_hyper_label_printer(cohort_tcr_a_c.plot_benefit(\n",
    "        \"N Expanded Clones that were TILs\", col=\"# Expanded Clones that were TILs\"), label=\"a_c_til_expansion\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def crpr(row):\n",
    "    best_response = row[\"Best Response RECIST 1.1\"].strip().lower()\n",
    "    if best_response in [\"cr\", \"pr\"]:\n",
    "        return True\n",
    "    elif best_response == \"pd\" or \"baseline\" in best_response:\n",
    "        return False\n",
    "    import numpy as np\n",
    "    return np.nan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "inner join with tcr_expansion_a_b: 29 to 22 rows\n",
      "Missing CR/PR for 4 patients: from 22 to 18\n",
      "Mann-Whitney test: U=60.0, p-value=0.0556473354668 (two-sided)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "MannWhitneyResults(U=60.0, p_value=0.0556473354668, sided_str='two-sided')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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gNGzYEIGBgQgMDIRSqcTx48exdu1a7Ny5E9XV1bh9+7au6yQiIgOTFRgHDx7E0aNHceTI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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4bf642afd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cohort_tcr_a_b.plot_boolean(on={\"# Expanded Clones that were TILs\": lambda row: row[\"N Expanded Clones that were TILs\"], \"CR/PR\": crpr}, \n",
    "                    boolean_col=\"CR/PR\", plot_col=\"# Expanded Clones that were TILs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "inner join with tcr_expansion_a_b: 29 to 22 rows\n",
      "Missing CR/PR for 4 patients: from 22 to 18\n",
      "Mann-Whitney test: U=60.0, p-value=0.0556473354668 (two-sided)\n"
     ]
    },
    {
     "data": {
      "image/png": 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gNTAcHBwAQGN12gdVHbO3t6/jsoCzZ8+ibdu21drd3d1x9epVnYQUET3Z1GUl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\nPBcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4b9c0a8a50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "results_a_b = cohort_tcr_a_b.plot_boolean(on={\"# Expanded Clones that were TILs\": lambda row: row[\"N Expanded Clones that were TILs\"], \"CR/PR\": crpr}, \n",
    "                    boolean_col=\"CR/PR\", plot_col=\"# Expanded Clones that were TILs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8.4285714285714288"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_a_b.with_condition_series.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.0"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_a_b.without_condition_series.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "inner join with tcr_expansion_a_c: 29 to 20 rows\n",
      "Missing CR/PR for 3 patients: from 20 to 17\n",
      "Mann-Whitney test: U=45.0, p-value=0.344232058625 (two-sided)\n"
     ]
    },
    {
     "data": {
      "image/png": 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UfKgwRKRYycnJsTQmhafCEJFi5Y477sDL638/2jp06ED16tXdmKj40DUMESlW2rZty/Tp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\nXUF8itchqAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4b9be46f10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "results_a_c = cohort_tcr_a_c.plot_boolean(on={\"# Expanded Clones that were TILs\": lambda row: row[\"N Expanded Clones that were TILs\"], \"CR/PR\": crpr}, \n",
    "                    boolean_col=\"CR/PR\", plot_col=\"# Expanded Clones that were TILs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.1428571428571432"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_a_c.with_condition_series.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3.2000000000000002"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_a_c.without_condition_series.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def expanded_clones_barplot():\n",
    "    df_tcr_a_b = cohort_tcr_a_b.as_dataframe()\n",
    "    df_tcr_a_b = df_tcr_a_b.set_index(\"patient_id\", drop=False).sort_values(\n",
    "        by=\"N Expanded Clones that were TILs\")\n",
    "    import matplotlib.colors as colors\n",
    "    red = colors.hex2color(\"#bb3f3f\")\n",
    "    blue = colors.hex2color(\"#5a86ad\")\n",
    "    palette = [blue if row[\"is_benefit\"] else red for i, row in df_tcr_a_b.iterrows()]\n",
    "    plot_expanded = sb.barplot(data=df_tcr_a_b, x=\"patient_id\", y=\"N Expanded Clones\", \n",
    "               order=df_tcr_a_b.index, palette=palette)\n",
    "    plot_expanded_tils = sb.barplot(data=df_tcr_a_b, x=\"patient_id\", \n",
    "               order=df_tcr_a_b.index,\n",
    "               y=\"N Expanded Clones that were TILs\", color=\"orange\")\n",
    "    import matplotlib.patches as mpatches\n",
    "    import matplotlib.pyplot as plt\n",
    "    no_benefit_patch = mpatches.Patch(color=red, label=\"No \" + cohort.benefit_plot_name)\n",
    "    benefit_patch = mpatches.Patch(color=blue, label=cohort.benefit_plot_name)\n",
    "    til_patch = mpatches.Patch(color=\"orange\", label=\"# Expanded TIL Clones\")\n",
    "    plot_expanded.set_xticklabels(plot_expanded.xaxis.get_majorticklabels(), rotation=70)\n",
    "    plot_expanded.set_xlabel(\"Subject ID\")\n",
    "    plot_expanded.set_ylabel(\"# Expanded Clones\")\n",
    "    plot_expanded.legend(handles=[benefit_patch, no_benefit_patch, til_patch],\n",
    "                         bbox_to_anchor=(0, 1), loc=2, borderaxespad=0.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{{{expanded_clones_barplot}}}\n",
      "inner join with tcr_expansion_a_b: 29 to 22 rows\n"
     ]
    },
    {
     "data": {
      "image/png": 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Dq6sr3NzcpNGADRo0wNy5cxEQEICgoCB8++23MDIykvrVr18fPj4+0NXVhZeXF5o3b45f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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f4b9c27fc50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hyper_figure_label_printer(label=\"expanded_clones_barplot\")\n",
    "expanded_clones_barplot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  },
  "name": "TCR Clonality.ipynb"
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
